| Central Limit Theorem for Bayesian Neural Network trained with Variational Inference | Jun 10, 2024 | Variational Inference | —Unverified | 0 |
| Variational Flow Matching for Graph Generation | Jun 7, 2024 | Graph GenerationVariational Inference | —Unverified | 0 |
| Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo | Jun 7, 2024 | EconometricsVariational Inference | CodeCode Available | 0 |
| Stochastic full waveform inversion with deep generative prior for uncertainty quantification | Jun 7, 2024 | Bayesian InferenceSeismic Imaging | —Unverified | 0 |
| Concurrent Training and Layer Pruning of Deep Neural Networks | Jun 6, 2024 | Variational Inference | —Unverified | 0 |
| Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning | Jun 6, 2024 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians | Jun 6, 2024 | Bayesian InferenceLEMMA | —Unverified | 0 |
| Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks | Jun 6, 2024 | Decision MakingOut-of-Distribution Detection | —Unverified | 0 |
| Approximation-Aware Bayesian Optimization | Jun 6, 2024 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference | Jun 5, 2024 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Posterior and variational inference for deep neural networks with heavy-tailed weights | Jun 5, 2024 | Model SelectionVariational Inference | —Unverified | 0 |
| Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics | Jun 5, 2024 | Variational Inference | —Unverified | 0 |
| Understanding Stochastic Natural Gradient Variational Inference | Jun 4, 2024 | Variational Inference | —Unverified | 0 |
| Modeling Randomly Observed Spatiotemporal Dynamical Systems | Jun 1, 2024 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification | May 31, 2024 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 |
| Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks | May 30, 2024 | Variational Inference | —Unverified | 0 |
| Kernel Semi-Implicit Variational Inference | May 29, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Rényi Neural Processes | May 25, 2024 | Image Inpaintingregression | —Unverified | 0 |
| ProDAG: Projected Variational Inference for Directed Acyclic Graphs | May 24, 2024 | Causal InferenceCombinatorial Optimization | CodeCode Available | 0 |
| On the Identification of Temporally Causal Representation with Instantaneous Dependence | May 24, 2024 | Motion ForecastingRepresentation Learning | —Unverified | 0 |
| A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search | May 24, 2024 | DiversityRe-Ranking | —Unverified | 0 |
| Zero-inflation in the Multivariate Poisson Lognormal Family | May 23, 2024 | Variational Inference | CodeCode Available | 1 |
| Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution | May 23, 2024 | Variational Inference | CodeCode Available | 0 |
| Variational Delayed Policy Optimization | May 23, 2024 | MuJoCoReinforcement Learning (RL) | CodeCode Available | 0 |
| Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder | May 16, 2024 | DecoderDiversity | —Unverified | 0 |
